INFRA | SOFTWARE | HARDWARE
We wired three frontier-class models (Gemini 3.6 Flash, Claude Opus 4.6 thinking, and GPT-OSS 120B) into the same 7-task harness via the Agy CLI, then switched the scorer from HTML structure to Playwright behavioural checks. The headline result: a model that scored a perfect 100 on the platformer task under the old scorer scored 30 under the new one, five iterations in a row, because the Space key never actually jumped.
We wired OpenRouter's free tier into our 7-task LLM harness, registered 13 models with full metadata, and ran a fair 5-iteration sweep across all of them. Ling 3.0 Tiny, Laguna XS 2.1 and Gemma 4 26B posted averages above 98 on a board that Kimi K3 leads at 90.5 — and the entire run cost us nothing.
Full attention pays an n² bill that a 1M-token context can't afford. Linear attention swaps the bill for a memory you write to — and the delta rule is what makes that memory smart. Kimi calls K3's KDA a 'hybrid linear attention mechanism'; this is the family it belongs to, from the kernel trick to gated delta updates.

Small, working simulations. Drag the controls on the full pages, or just watch the previews cycle here. The selection rotates daily.